Cassandra vs Supabase Vector comparison

Apache and Supabase are both solutions in the Vector Databases category. Apache is ranked #14 with an average rating of 8.1, while Supabase is ranked #12 with an average rating of 9.0. Apache holds a 2.5% mindshare in VD, compared to Supabase’s 9.8% mindshare. Additionally, 92% of Apache users are willing to recommend the solution, compared to 100% of Supabase users who would recommend it.

Cassandra

Read 25 Cassandra reviews

2,307 Views
854 Comparison Views

92% willing to recommend

Supabase Vector

Read 3 Supabase Vector reviews

2,389 Views
2,389 Comparison Views

100% willing to recommend

Cassandra

Supabase Vector

Comparison Buyer's Guide

Download the report

Executive SummaryUpdated on Mar 5, 2025

Cassandra and Supabase Vector are competitors in database management solutions. Supabase Vector appears to have an edge due to its integration capabilities and modern features.

Features: Cassandra offers high linear scalability, a fault-tolerant design, and suitability for big data environments. Supabase Vector provides intuitive integration, AI-driven features, and support for modern application demands.

Ease of Deployment and Customer Service: Cassandra's deployment is suitable for experienced technical teams, while Supabase Vector allows straightforward setup for rapid implementation. Supabase Vector offers more responsive customer service, beneficial for seamless deployment and continuous support.

Pricing and ROI: Cassandra may incur higher initial setup and maintenance costs due to technical requirements. Supabase Vector features a competitive pricing model, balancing setup with AI functionalities, leading to a potentially greater ROI for forward-thinking implementations.

To learn more, read our detailed Cassandra vs. Supabase Vector Report (Updated: December 2025).

Buyer's Guide

Cassandra vs. Supabase Vector

December 2025

Download the complete report

Helped 881,665 peers since 2012

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

Cassandra

Ranking in Vector Databases

14th

Average Rating

8.0

Reviews Sentiment

6.0

Number of Reviews

Ranking in other categories

NoSQL Databases (7th)

Supabase Vector

Ranking in Vector Databases

12th

Average Rating

9.0

Reviews Sentiment

5.0

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of February 2026, in the Vector Databases category, the mindshare of Cassandra is 2.5%, up from 1.6% compared to the previous year. The mindshare of Supabase Vector is 9.8%, up from 2.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Vector Databases Market Share Distribution
Product	Market Share (%)
Supabase Vector	9.8%
Cassandra	2.5%
Other	87.7%

Vector Databases

Featured Reviews

Monirul Islam Khan

Head, Data Integration & Management at a non-profit with 10,001+ employees

Has maintained secure document storage and efficient data distribution with peer-to-peer architecture

The functions or features in Cassandra that I have found most valuable are that it is a distributed system similar to Mongo. It's good enough for comparison with another SQL database, so it's smooth and organized for distributed database system. The peer-to-peer architecture in Cassandra is helpful for network decentralization, and I have already introduced that feature. Cassandra features in peer-to-peer as well as another monitoring, so basically, it's good enough for our service. The tunable consistency level in Cassandra is good, and we are using that feature already. In terms of built-in caching and lightweight transactions in Cassandra, the transaction level is good, and it's optimized, so there are no more issues in that database. Based on my experience, Cassandra is good for document management system, as well as distributed database system, and the automatic recovery process is there. Additionally, the database monitoring system or auditing system is well-comparable with other database systems, so we are actually happy to be using this Cassandra database.

Read full review

Kaustubh Sule

Co-Founder • Full Stack Developer at Padhakoo

Easy to use, and there is no need to get involved in any tedious deployment process

If you are a business building a social media app, there will be thousands of users for every such app. Each user will have a post or something. When multiple users try to hit the like button on your post or try to comment on your post, each of them would be an API request, and Supabase Vector does not charge for them like. The API requests are kind of unlimited. If you compare Supabase Vector to any of the other services like Firebase, AWS, or Azure, all the tools charge per request. From a scalability standpoint, if you are a small-scale startup and you have around 1,00,000 or 2,00,000 users, then Supabase Vector is a perfect choice for you. I have never heard about any scalability issues in the product. Scalability-wise, I rate the solution a ten of ten.

Read full review

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"Overall, I would rate Cassandra as nine because of its fast writes, which really suit our use cases mostly."

"I am satisfied with the performance."

"I am getting much better performance than relational databases."

"A consistent solution."

"Some of the valued features of this solution are it has good performance and failover."

"The most valuable features of this solution are its speed and distributed nature."

"The use of Cassandra in real-time data analytics has been pivotal for our e-commerce platform. As our platform operates 24/7, providing services to sellers and customers alike, the need for real-time updates is paramount."

"The most valuable features of Cassandra are the NoSQL database, high performance, and zero-copy streaming."

More Cassandra pros

"The platform's role-level security feature is quite effective for spatial data management."

"The tool is easy to use."

"Supabase enables us to lower the skill floor while keeping the ceiling high."

Cons

"I want Cassandra to update its open-source version more quickly. It's already feature-rich, but I'd appreciate better integration with other NoSQL databases like MariaDB or MongoDB. If I ever need to work with customers or vendors using different NoSQL databases, having native integration in Cassandra would make managing and interacting with their databases much easier."

"We experience configuration issues when accommodating the volumes we require, which often necessitates consultation with the Cassandra development team."

"Interface is not user friendly."

"The solution is limited to a linear performance."

"The solution is not easy to use because it is a big database and you have to learn the interface. This is the case though in most of these solutions."

"Maybe they can improve their performance in data fetching from a high volume of data sets."

"The solution doesn't have joins between tables so you need other tools for that."

"Some issues arise from our vendors like Apache slowness and distribution or load balancing from HAProxy, which should better handle consumption for high-level concurrency."

More Cassandra cons

"The support for React Native CLI is an area with certain shortcomings where improvements are required."

"One area for the solution improvement is the inclusion of more sample code in various programming languages, particularly PHP."

"I think there are still many Postgres features that can be developed further by the Supabase team."

Pricing and Cost Advice

"We are using the open-source version of Cassandra, the solution is free."

"I don't have the specific numbers on pricing, but it was fairly priced."

"Cassandra is a free open source solution, but there is a commercial version available called DataStax Enterprise."

"There are licensing fees that must be paid, but I'm not sure if they are paid monthly or yearly."

"I use the tool's open-source version."

"We pay for a license."

"The solution's cost is reasonable compared to other solutions."

"As per the product's regular pricing plans, the tools are available to users for 20 to 25 USD per month."

See which vendors are best for you

Use our free recommendation engine to learn which Vector Databases solutions are best for your needs.

See recommendations

881,665 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Financial Services Firm

16%

Computer Software Company

Comms Service Provider

Retailer

Comms Service Provider

15%

Computer Software Company

Manufacturing Company

Healthcare Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	8
Midsize Enterprise	1
Large Enterprise	14

No data available

Questions from the Community

What do you like most about Cassandra?

The use of Cassandra in real-time data analytics has been pivotal for our e-commerce platform. As our platform operates 24/7, providing services to sellers and customers alike, the need for real-ti...

See all answers

What is your experience regarding pricing and costs for Cassandra?

The pricing for Cassandra is a little bit high, so it would be better for our community services if they consider community pricing for any non-profit organization like an NGO or other things. It w...

See all answers

What needs improvement with Cassandra?

Regarding areas of improvement for Cassandra, currently, we are not facing significant issues. Some issues arise from our vendors like Apache slowness and distribution or load balancing from HAProx...

See all answers

What is your experience regarding pricing and costs for Supabase Vector?

The price is good.

See all answers

What needs improvement with Supabase Vector?

I think there are still many Postgres features that can be developed further by the Supabase team.

See all answers

What is your primary use case for Supabase Vector?

I am exploring Supabase for my project on UMKM.

See all answers

Comparisons

ClickHouse vs Cassandra

Compared 11% of the time

MongoDB Enterprise Advanced vs Cassandra

Compared 11% of the time

Couchbase Enterprise vs Cassandra

Compared 7% of the time

Oracle NoSQL vs Cassandra

Compared 5% of the time

Cloudera Distribution for Hadoop vs Cassandra

Compared 3% of the time

More Cassandra Competitors

Pinecone vs Supabase Vector

Compared 24% of the time

Qdrant vs Supabase Vector

Compared 23% of the time

Chroma vs Supabase Vector

Compared 11% of the time

Milvus vs Supabase Vector

Compared 8% of the time

Vespa vs Supabase Vector

Compared 1% of the time

More Supabase Vector Competitors

Product Reports

Buyer's Guide

Cassandra

January 2026

Download Cassandra product report

Buyer's Guide

Vector Databases

January 2026

Download Supabase Vector product report

Overview

Cassandra is a distributed and scalable database management system used for real-time data processing.

It is highly valued for its ability to handle large amounts of data, scalability, high availability, fault tolerance, and flexible data model.

It is commonly used in finance, e-commerce, and social media industries.

Apache

Supabase Vector offers an efficient way to manage and query vector embeddings, catering to the needs of developers and data scientists seeking scalable solutions for vector-based data handling.

Supabase Vector is designed to streamline the process of storing, managing, and querying vector embeddings, essential for applications like machine learning algorithms and personalized recommendations. Its intuitive API and integration capabilities make it a preferred choice for tech professionals seeking a reliable backend for their vector data requirements. With flexible storage options and robust querying features, it accommodates the dynamic demands of AI-driven projects.

What are its key features?

Seamless Integration: Connects effortlessly with databases, making it simple to incorporate into existing projects.
Scalable Storage: Allows for efficient storage of large volumes of vector data, accommodating growth in usage.
Flexible Queries: Supports complex queries, facilitating advanced data analysis and insights.
Real-Time Updates: Ensures that data remains current with instantaneous updates.
Developer-Friendly: Comes with comprehensive documentation and an intuitive API for ease of use.

What benefits or ROI should users look for?

Increased Efficiency: Streamlines data management, reducing time spent on backend development.
Cost Effectiveness: Offers scalable options that can save on infrastructure and maintenance costs.
Enhanced Accuracy: Delivers precise query results, improving decision-making processes.
Improved Developer Productivity: Simplifies complex tasks, allowing developers to focus on more critical activities.

Supabase Vector can be particularly beneficial in industries such as e-commerce for personalized product recommendations, in finance for fraud detection through pattern analysis, and in healthcare for patient data insights. Its capability to handle diverse sets of embeddings makes it versatile across different sectors needing robust data processing tools.

Supabase

Sample Customers

1. Apple 2. Netflix 3. Facebook 4. Instagram 5. Twitter 6. eBay 7. Spotify 8. Uber 9. Airbnb 10. Adobe 11. Cisco 12. IBM 13. Microsoft 14. Yahoo 15. Reddit 16. Pinterest 17. Salesforce 18. LinkedIn 19. Hulu 20. Airbnb 21. Walmart 22. Target 23. Sony 24. Intel 25. Cisco 26. HP 27. Oracle 28. SAP 29. GE 30. Siemens 31. Volkswagen 32. Toyota

Information Not Available

Buyer's Guide

Cassandra vs. Supabase Vector

December 2025

Free Report: Cassandra vs. Supabase Vector

Find out what your peers are saying about Cassandra vs. Supabase Vector and other solutions. Updated: December 2025.

DOWNLOAD NOW

881,665 professionals have used our research since 2012.

See our Cassandra vs. Supabase Vector report.

See our list of best Vector Databases vendors.

We monitor all Vector Databases reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.